Laia Mogas Soldevila is a licensed Architect and experienced Researcher interested in biological material systems and novel material practices in design.
She is currently a researcher completing her PhD at Tufts University’s Biomedical Engineering SilkLab. She has previously has worked at the MIT Media Lab Mediated Matter Group with Prof. Neri Oxman focusing on design and digital fabrication of natural material systems, at the MIT SUTD Robotics Lab with Prof. Mark Goulthorpe focusing on large scale automated manufacturing, at the MIT Dept. of Material Science Ortiz Lab of Structural Materials with Prof. Christine Ortiz focusing on biomimetic computational methods, and at the UPC CODA Group with Prof. Ramon Sastre focusing on parametric architecture. She has been an Instructor at the UPC ETSAV School of Architecture and MIT Architecture Dept., as well as a Teaching Assistant at the MIT Media Lab.
She completed her Architectural diploma minoring in Visual Arts at the Polytechnic University of Catalonia, School of Architecture (UPC-ETSAV) where she graduated with honors. In 2010, she completed a post-professional degree in Advanced Design and Digital Architecture at the Pompeu Fabra University (UPF). In 2010-2011 she was awarded research grants to pursue the Architecture, Energy and Environment program at UPC-ETSAB and the Master of Science in Architecture Studies at the Massachusetts Institute of Technology, Design Computation Group.
Laia’s research contributions have been published in renowned scientific journals and shared in international conferences such as WAF, MRS, IASS and ACADIA. Her work has been exhibited at the MIT Museum in 2015, the MIT MediaLab in 2014, the Radcliffe Institute for Advanced Study at Harvard University in 2014, the Lisbon Architecture Triennial 2013, the Istanbul Design Biennial 2012, and the Pompidou Center in Paris as part of Advances in Architectural Geometry Exhibit 2012. Since 2008, she co-leads the DumoLab design studio with Jorge Duro-Royo at the intersection of architecture, material practices and advanced computation.